Online hackathon of the Next Generation Women Leaders initiative by McKinsey & Company, supporting women with leadership potential
Meet the real business challenge
Compete with the best in Data Science
Learn from the experience of invited speakers
Feel the atmosphere of the offline hackathon without leaving home

Key benefits
Key benefits
Challenge
Customer outflow modelling in the product delivery service from the supermarkets based on order data and communication history with users.

Challenge
Prize fund
1 place
1 500 $
2 place
1 000 $
3 place
500 $
This hackathon is for you, if:
Who can participate?
Who can participate?
You want to grow in IT
You are interested in Data Science
You want to expand your network
Selecting participants
Announcing the list of participants,
team-building
NGWL Hack
Announcing winners, award ceremony
September 11- October 11
Timeline
Timeline
October 11-12
October 13-17
October 17-18
October 18
The selection of participants will take place until 10/13/2020.
On 10/13/2020 we will announce those who passed the selection. They will be able to form teams.
The main program of the hackathon.
Representatives of McKinsey&Company will evaluate the best solutions and determine the winners.
The application period
- Individual participants are allowed to participate in the hackathon.
- Teams are formed after selection.
- Application deadline - 10/11/2020 23:59 GMT +3.
The opening ceremony, the challenge presentation

Q&A-session

1st check-point
10:00

11:00

16:00
Program
Program
October 17

2nd check-point


Submission uploading deadline

Final pitches

Выступление приглашенных спикеров

The award ceremony

10:00

14:00

17:00

19:00

20:30
October 18
Открытие,
презентация задачи

Q&A сессия

Чек-поинт №1
Чек-поинт №2

Завершение работы

Презентация решений

Выступление
приглашенных спикеров

Объявление победителей
10:00


11:00

16:00
11:00

14:00

17:00

19:00


20:00
Co-founder, Evidently AI
Emily Dral
Перенимай опыт у лучших!
Hiring features and team management - personal experience.
Speakers
Speakers
ML-startup or big IT-corporation?
Ex-PM, Airbnb
Lyuba Yudasina
How to study chemical engineering in Canada, become software engineer in Airbnb and move to Product Management.
From chem. engineer to AirBnB
Operator
Media partner
FAQ
FAQ
Telegram
Hackathon's chat
About personal data processing
Have any questions? Ask the question:
Contacts
Contacts
Hackathon's documentation